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    Results for "advanced machine learning"

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Build Regression, Classification, and Clustering Models

      Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Software Developers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, ChatGPT, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Architecture, Machine Learning, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      A

      Arm

      Optimizing Generative AI on Arm Processors

      Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Application Frameworks, Tensorflow, Applied Machine Learning, Performance Tuning, Hardware Architecture, Computer Hardware, Algorithms, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Custom Models, Layers, and Loss Functions with TensorFlow

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Network Model, Object Oriented Programming (OOP), Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      75 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, Predictive Modeling, Artificial Intelligence, Responsible AI

      4.7
      Rating, 4.7 out of 5 stars
      ·
      177 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Getting started with TensorFlow 2

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Supervised Learning, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Jupyter, Application Programming Interface (API)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      576 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Responsible AI, Prompt Engineering, Prompt Patterns, Generative AI, Digital Advertising, Email Marketing, ChatGPT, Digital Marketing, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Artificial Intelligence and Machine Learning (AI/ML), Social Media Marketing, Copywriting, Search Engine Optimization, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with Python

      Skills you'll gain: Predictive Modeling, Exploratory Data Analysis, Data Wrangling, Data Analysis, Data Import/Export, Pandas (Python Package), Statistical Modeling, Data-Driven Decision-Making, Data Manipulation, Scikit Learn (Machine Learning Library), Regression Analysis, Feature Engineering, Matplotlib, Python Programming, Data Cleansing, NumPy, Data Visualization, Descriptive Statistics, Supervised Learning, Data Pipelines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Logistic Regression with R: Build & Predict

      Skills you'll gain: Predictive Modeling, R Programming, Feature Engineering, Risk Modeling, Classification And Regression Tree (CART), Statistical Modeling, Regression Analysis, Predictive Analytics, Machine Learning Methods, Data Processing, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction

      Mixed · Course · 1 - 4 Weeks

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    1…121122123…601

    In summary, here are 10 of our most popular advanced machine learning courses

    • Build Regression, Classification, and Clustering Models: CertNexus
    • Generative AI for Software Developers: IBM
    • Optimizing Generative AI on Arm Processors: Arm
    • AI Workflow: AI in Production: IBM
    • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • Getting started with TensorFlow 2: Imperial College London
    • Generative AI for Digital Marketing: IBM
    • Data Analysis with Python: IBM

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